Dealing with Unwanted Donations: A Content Analysis of Small Academic Canadian Library Webpages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While archives and special collections continue to welcome unique and valuable resources, small academic libraries can struggle with how to manage donation offers intended for their main collections. There is a need to be selective considering falling print circulation, workload pressures on library personnel, and space restrictions. Additionally, limited collections funds needed for more current and higher-demand resources can be strained by the higher processing costs of donated materials. These pressures are compounded by prospective donors seeking a home for items they no longer want, a perception that small academic libraries need all donations, and a lack of understanding about the qualifications and expertise of academic library workers. Clearly communicated and regularly reviewed guidelines can help discourage unwanted donations in ways that lessen alienating our patrons. This article provides a content analysis of donations webpages from small academic libraries in Canada to identify trends and provide support for libraries reviewing their own policies and procedures in an effort to manage donor expectations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.025 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it